Joseph Jacks’ Post

Lowenstein Sandler advised Notable Capital in leading a $25 million Series A round for LocalStack, a platform enabling developers to test and debug AWS infrastructure locally, with the funding paving the way for broader capabilities beyond AWS. The Lowenstein deal team included John Wayne Horton, Christian Contardo, Judith Rubin, Sara Uz, Oluwaseyi Amorin, Tina Aoun, and Noah Crousore. https://bit.ly/3Zj0iai #lawfirms #lawyers #corporatelaw #globaltrade #venturacapital

Calling early-stage Founders! Datadog struggled to raise a Seed round and are valued at $40b today! They did this through making sure they “solve real problems” and focusing on efficiency from their inception.   Hugely valuable insights shared by Olivier Pomel (Co-Founder and CEO, Datadog) in this discussion with Logan Bartlett (Managing Director, Redpoint Ventures). Well worth a watch! #venturecapital #GTM #SaaS

🚀 Databricks raises $10B at a $62B valuation—what’s behind one of the largest funding rounds ever? Late-stage rounds are getting bigger. IPO timelines are stretching. And profitability takes longer than ever. Databricks’ mega "Series J" round is a case study: 🟩 $10B funding led by Thrive, a16z, and GIC. 🟩 Valuation: $62B (up from $43B). 🟩 Revenue: $3B run rate, growing >60% YoY. CEO Ali Ghodsi says the new cash will fuel: 🔹 Liquidity for employees. 🔹 Acquisitions and international expansion. 🔹 AI hiring to compete with OpenAI and Anthropic. As the IPO remains “a few months away,” this raises bigger questions: ▫️ Are late-stage startups over-reliant on private capital? ▫️ Is the delay to public markets the new normal? ▫️ How sustainable is this “growth now, profit later” trend? 🎥 Watch Ali Ghodsi’s take on Databricks’ $10B raise here 👇 Enjoyed the post? Follow Rubén Domínguez Ibar for more You can also join 100,000+ founders and VCs who receive these insights in my weekly newsletter: https://lnkd.in/dtifw4mC

🚀 In one of the largest late-stage funding rounds, Databricks secures $10B at a $62B valuation! 🟢 Databricks, $3B run-rate revenue, growing 60%+ YoY. 🟢 Plans to fuel AI hiring, global expansion, and acquisitions. This “Series J” highlights how private markets are bridging longer IPO timelines. #Funding #AI #Innovation #Startups

In good company on the Forbes #cloud100 list - 5th year running and moving up steadily. Consistent, thoughtful growth based on broader market awareness and driving real outcomes. Fivetran continues to transform what a data team is capable of achieving and opening new use-cases for data/analytics/AI/ML/DS etc.. It feels as though data experts are more and more tired of wrapping aroud the axle of manual tools and moving towards standardization. We help teams deliver #innovation #elt #etl #datalake #datawarehouse #dataengineering #dataengineer #snowflake #databricks #bigQuery #aws #azure #oracle #sap

"To put it in perspective, if this had been an IPO, it would have been the LARGEST DEAL in last decade....." #consolidation is underway in the world of #AI here are 5 key takeaways for #Devops folks getting ready with #AI and #MLOps 1. Get familiar with major data/AI platforms, especially Databricks and its competitors (Snowflake, Azure ML, AWS Sagemaker) - with $10B in funding, Databricks is clearly becoming a major player DevOps teams will need to work with 2. Learn modern lakehouse architecture as it's becoming the standard (Databricks' core model) - the $62B valuation shows the industry is betting on this approach 3. Stay updated on AI tooling consolidation - notice how Databricks expanded from just data to full AI/ML platform. This suggests DevOps folks should focus on integrated platforms rather than piecing together separate tools 4. Understand open-source AI frameworks (especially since Databricks came from Apache Spark) - they're often the foundation of enterprise AI platforms 5. Keep an eye on AI infrastructure costs and optimization - if companies are raising billions like Databricks, it means AI infrastructure spending is going to be massive and DevOps will need to manage these budgets Would you like me to provide more specific examples of which Databricks components are most relevant for DevOps professionals?

PM50 Growth Index YoY Returns - ‘21 ‘22 ‘23 ‘24 Though the days of sky-high valuations that blessed late-stage private share sellers in 2021 are over, 2024 was the year of the sustained rebound in private company valuations. Top-tier private companies, like SpaceX, Databricks, Revolut and Stripe were among those that took advantage of the resurgence in their valuations by running secondary market offerings, unlocking liquidity for their investors, employees and raising some capital to boot. Expect more of the same in 2025, across a broader range of companies, along with more successful IPOs to build on the successes of the few like Rubrik & ServiceTitan that began to re-open the door in 2024. Read the full report: https://lnkd.in/e5s2tEBW

New Post: Databricks Closes The Biggest Venture Round with $10 Billion Funding - Databricks, a data and AI company, raised $10 billion in a funding round led by Thrive Capital, with participation from prominent firms like Andreessen Horowitz and DST Global. The funds will support AI product development, strategic acquisitions, and international expansion. CEO Ali Ghodsi emphasized the company's commitment to leveraging data across industries, while VP Naveen Rao noted the round's historic scale. Databricks aims to exceed a $3 billion annual revenue run rate by January 2025, reporting over 60% revenue growth. With new global hubs and a partnership with AWS, Databricks solidifies its position in the competitive data solutions market. Read the full article here https://lnkd.in/dJhd7pza #Venturecapital #VC #investment #LP #Limited Partner

LOVED this article from Cake, figured why not share it with y'all! I was lucky enough to meet a lot of the Cake team during my time at AWS, an awesome team doing incredible things for the AUS Startup community. 7 Costly and time-consuming capital raising mistakes to avoid: 1. Share split 2. Members approval 3. Shareholder agreement 4. Disclosure requirements 5. Credible valuation 6. Number of shareholders 7. Stock option pool From our personal experience at B Found, we've been surprised at the weight a lot of the above holds with investors, to the point where certain responses will rule out any form of investor conversation before it's even started. 🤷♂️ Link to article in the comments!